Literature DB >> 21997479

EUS-FNA mutational analysis in differentiating autoimmune pancreatitis and pancreatic cancer.

Asif Khalid1, John Dewitt, N Paul Ohori, Jey-Hsin Chen, Kenneth E Fasanella, Michael Sanders, Kevin M McGrath, Marina Nikiforova.   

Abstract

BACKGROUND/AIMS: Autoimmune pancreatitis (AIP) may mimic pancreatic cancer (PC). The detection of DNA mutations in endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) material may improve discrimination between AIP and PC and is the context for this study.
METHODS: In a retrospective study, archived EUS-FNA material from patients with AIP and PC at two centers was analyzed for KRAS mutations and loss-of-heterozygosity analysis involving 18 microsatellite markers. KRAS status and the fractional allelic loss (number of affected microsatellites divided by informative ones) were compared for AIP and PC.
RESULTS: Thirty-two patients with 33 samples were studied. There were 16 patients with AIP (17 samples) and 16 patients with PC. DNA amplification failed in 7 samples. Of 25 patients (26 samples), 14 had AIP (7 male, age 57 ± 17 years; mean ± SD) and 11 had PC (7 male, age 65 ± 14 years; mean ± SD). Cytology results for AIP were inflammatory = 3, inconclusive = 10, suspicious for malignancy = 2 and for PC were malignant = 5, suspicious for malignancy = 4 and inconclusive = 2, respectively. KRAS mutation was detected in none of the AIP cases and 10/11 PC cases (91%, Pearson χ(2) = 22.16, p < 0.001) or 10/16 PC cases (63%) accounting for PC cases with failed DNA amplification. Mean (±SD) fractional allelic loss for the AIP cases (0.16 ± 0.15) was not significantly different from the PC cases (0.26 ± 0.19).
CONCLUSIONS: A KRAS mutation in EUS/FNA material from a pancreatic mass is associated with malignancy and may help discriminate from benign conditions such as AIP.
Copyright © 2011 S. Karger AG, Basel.

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Mesh:

Year:  2011        PMID: 21997479     DOI: 10.1159/000331505

Source DB:  PubMed          Journal:  Pancreatology        ISSN: 1424-3903            Impact factor:   3.996


  12 in total

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